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I need to make a SQL query
table 'records' structure:
contact_id(integer),
client_id(integer),
worker_id(integer),
statement_status(varchar),
contact_ts(timestamp)
It has to show the following:
current date
number of clients which last statement_status was 'interested'
number of clients which last statement_status was 'not_interested' and previus status was 'not_present'
Could somebody help?
sample data:
contact_id client_id contact_ts worker_id statement_status
'1', '181', '2017-09-24 03:38:31.000000', '107', 'voicemail'
'2', '72', '2017-09-23 09:32:38.000000', '10', 'not_interested'
'3', '277', '2017-09-22 07:06:16.000000', '119', 'interested'
'4', '36', '2017-09-21 04:39:57.000000', '118', 'not_present'
'5', '33', '2017-09-20 04:12:12.000000', '161', 'voicemail'
'6', '244', '2017-09-19 02:26:30.000000', '13', 'not_interested'
'7', '346', '2017-09-18 02:30:35.000000', '255', 'interested'
'8', '128', '2017-09-17 06:20:13.000000', '52', 'not_present'
'9', '33', '2017-09-16 08:58:02.000000', '188', 'not_present'
'10', '352', '2017-09-15 08:18:40.000000', '324', 'not_interested'
'11', '334', '2017-09-14 04:27:40.000000', '373', 'interested'
'12', '2', '2017-09-13 08:44:40.000000', '40', 'not_present'
'13', '33', '2017-09-12 03:46:16.000000', '252', 'voicemail'
'14', '366', '2017-09-11 04:31:22.000000', '78', 'not_interested'
'15', '184', '2017-09-10 06:08:01.000000', '289', 'interested'
'16', '184', '2017-09-09 05:45:56.000000', '124', 'not_present'
'17', '102', '2017-09-08 07:09:30.000000', '215', 'voicemail'
'18', '140', '2017-09-07 08:09:18.000000', '196', 'not_interested'
'19', '315', '2017-09-06 05:13:40.000000', '242', 'interested'
'20', '268', '2017-09-05 07:41:40.000000', '351', 'not_present'
'21', '89', '2017-09-04 05:32:05.000000', '232', 'voicemail'
desired output:
Time, interested, not-interested
2017-09-10 06:08:01, 5, 5
I tried something with sub queries, but it obviously doesn't work:
SELECT
GETDATE()
,(select count(*)
from record a
where (select statement_status
from record
where client_id == a.client_id
order by a.contact_ts
limit 1) == "interested"
group by a.contact_id)
,(select count(*)
from record a
where (select (select statement_status
from record
where client_id == a.client_id
order by a.contact_ts
limit 2) order by a.contact_ts desc limit 1) == "interested"
and
(select statement_status
from record
where client_id == a.client_id
order by a.contact_ts
limit 1) == "interested"
group by a.contact_id)
from record b;
How should I use the inner selects?
I must write a poem, because most of my post is a code.
So maybe something from "Dead man"?
“Don't let the sun burn a hole in your ass, William Blake. Rise now, and drive your cart and plough over the bones of the dead!”
;)
Try something like this:
WITH status AS (
SELECT DISTINCT client_id,
first_value(statement_status) OVER w1 AS last_status,
nth_value(statement_status, 2) OVER w1 AS prev_status
FROM records
WINDOW w1 AS (PARTITION BY client_id ORDER BY contact_ts DESC RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
)
SELECT CURRENT_DATE(),
SUM(last_status = 'interested') AS interesed,
SUM(last_status = 'not_interested' AND prev_status = 'not_present') AS not_interested
FROM status
Hi i have the following mysql data
INSERT INTO `monthly` (`id`, `year`, `stat_id`, `cat_id`, `January`, `February`, `March`, `April`, `May`, `June`, `July`, `August`, `September`, `October`, `November`, `December`) VALUES
(1, '2017', '12', '25', '1', '3', '1', '1', '3', '4', '4', '2', '4', '', '', ''),
and i would like it to be convert to be like this
INSERT INTO `monthlydata` (`id`, `year`, `monthName`, `stat_id`, `cat_id`, `data`) VALUES
(1, '2017', 'January', '12', '25', '1'),
(2, '2017', 'February', '12', '25', '3'),
(3, '2017', 'March', '12', '25', '1'),
(4, '2017', 'April', '12', '25', '1'),
(5, '2017', 'May', '12', '25', '3'),
(6, '2017', 'June', '12', '25', '4'),
(7, '2017', 'July', '12', '25', '4'),
(8, '2017', 'August', '12', '25', '2'),
(9, '2017', 'September', '12', '25', '4'),
(10, '2017', 'October', '12', '25', ''),
(11, '2017', 'November', '12', '25', ''),
(12, '2017', 'December', '12', '25', ''),
is there an easier way to do this using mysql/php
You need to UNPIVOT your data. MySQL doesn't have a built in function to do that so you'll need to use multiple queries.
INSERT INTO `monthlydata` (`id`, `year`, `monthName`, `stat_id`, `cat_id`, `data`) VALUES
SELECT id, year, 'January', stat_id, cat_id, January
FROM monthly WHERE monthName = 'January'
UNION ALL
SELECT id, year, 'February', stat_id, cat_id, February
FROM monthly WHERE monthName = 'February'
UNION ALL
SELECT id, year, 'March', stat_id, cat_id, March
FROM monthly WHERE monthName = 'March'
.....
ID column here might cause issues. Depending on how you have defined it. If it is auto generated then you can remove it from the INSERT and let it be auto generated. Since you'll have rows for all months with same ID, you need to handle that scenario.
Here is my query:
USE adventureWorks4mysql;
SELECT DISTINCT a.city, count(a.city) as "City Count", emp.Gender as Gender, emp.VacationHours as VacationHours,
(select if(count(*) is null,0, count(*))
FROM address aa
inner join employeeaddress empad on aa.AddressID = empad.AddressID
inner join employee emp on empad.EmployeeID = emp.EmployeeID
where MaritalStatus = 'M' and aa.city = a.city
group by aa.City) as married,
(select ifnull(count(*),0)
FROM address aa
inner join employeeaddress empad on aa.AddressID = empad.AddressID
inner join employee emp on empad.EmployeeID = emp.EmployeeID
where MaritalStatus = 'S' and aa.city = a.city
group by aa.City) as single
FROM address a
inner join employeeaddress empad on a.AddressID = empad.AddressID
inner join employee emp on empad.EmployeeID = emp.EmployeeID
group by a.City;
returns the following:
'Bellevue', '36', 'F', '5', '22', '14'
'Berlin', '1', 'F', '35', NULL, '1'
'Bordeaux', '1', 'M', '34', NULL, '1'
'Bothell', '13', 'M', '9', '7', '6'
'Calgary', '1', 'M', '33', '1', NULL
'Cambridge', '2', 'F', '37', '2', NULL
'Carnation', '5', 'M', '77', '4', '1'
'Detroit', '1', 'M', '38', NULL, '1'
'Duluth', '1', 'F', '24', NULL, '1'
'Duvall', '10', 'F', '80', '3', '7'
'Edmonds', '25', 'M', '84', '16', '9'
'Everett', '18', 'M', '42', '11', '7'
'Gold Bar', '5', 'M', '92', '3', '2'
'Index', '5', 'F', '61', '3', '2'
'Issaquah', '15', 'M', '70', '4', '11'
'Kenmore', '12', 'F', '86', '5', '7'
'Kent', '1', 'F', '5', '1', NULL
'Melbourne', '1', 'F', '36', NULL, '1'
'Memphis', '1', 'M', '29', '1', NULL
'Minneapolis', '1', 'M', '48', NULL, '1'
'Monroe', '14', 'M', '21', '4', '10'
'Nevada', '1', 'F', '27', '1', NULL
'Newport Hills', '7', 'M', '44', '2', '5'
'Ottawa', '1', 'M', '31', '1', NULL
'Portland', '1', 'F', '22', NULL, '1'
'Redmond', '21', 'M', '2', '11', '10'
'Renton', '17', 'M', '6', '12', '5'
'Sammamish', '17', 'F', '31', '6', '11'
'San Francisco', '2', 'M', '16', '2', NULL
'Seattle', '44', 'F', '82', '21', '23'
'Snohomish', '10', 'M', '88', '3', '7'
Not at all clear about you desired result, but is you are attempting to count cities, then I suggest you use "conditional aggregates" instead of your current approach, like this:
SELECT
a.city
, COUNT( a.city ) AS "City Count"
, count(CASE WHEN maritalstatus = 'M' THEN a.city END) AS married
, count(CASE WHEN maritalstatus = 'S' THEN a.city END) AS single
FROM address a
INNER JOIN employeeaddress empad ON a.addressid = empad.addressid
INNER JOIN employee emp ON empad.employeeid = emp.employeeid
GROUP BY
a.city;
Note how the case expression is INSIDE the aggregate function COUNT - hence the term "conditional aggregates" e.g. for singles, if there is a singe status then count that address other wise just ignore that row. nb COUNT does not increment if a value is null.
Please also note that you are only grouping by the single column city. If you really want more result rows because of gender and vacationhours then also use those columns in the GROUP BY clause
SELECT
a.city
, emp.gender AS Gender
, emp.vacationhours AS VacationHours
, COUNT( a.city ) AS "City Count"
, count(CASE WHEN maritalstatus = 'M' THEN a.city END) AS married
, count(CASE WHEN maritalstatus = 'S' THEN a.city END) AS single
FROM address a
INNER JOIN employeeaddress empad ON a.addressid = empad.addressid
INNER JOIN employee emp ON empad.employeeid = emp.employeeid
GROUP BY
a.city
, emp.gender
, emp.vacationhours
;
The following table is for practice only. I will use the code on a much larger table.
SELECT *
FROM price_practice;
gives
id company dt price
'16', 'Amex', '2015-07-01', '5.00'
'17', 'Amex', '2015-07-02', '5.10'
'18', 'Amex', '2015-07-03', '5.00'
'19', 'Amex', '2015-07-06', '5.88'
'20', 'Amex', '2015-07-07', '4.21'
'21', 'Citi', '2015-07-01', '1.00'
'22', 'Citi', '2015-07-02', '1.10'
'23', 'Citi', '2015-07-03', '1.00'
'24', 'Citi', '2015-07-06', '0.88'
'25', 'Citi', '2015-07-07', '1.01'
'26', 'Amex', '2015-07-08', '5.23'
'27', 'Amex', '2015-07-09', '5.35'
'28', 'Amex', '2015-07-10', '5.55'
'29', 'Amex', '2015-07-13', '5.88'
'30', 'Amex', '2015-07-14', '6.01'
'31', 'Citi', '2015-07-08', '0.95'
'32', 'Citi', '2015-07-09', '0.83'
'33', 'Citi', '2015-07-10', '0.79'
'34', 'Citi', '2015-07-13', '0.72'
'35', 'Citi', '2015-07-14', '0.59'
The following snippet calculates the percentage change in price from one date to the next.
SELECT x.id, x.company, x.dt, x.price, (x.price - y.price)/y.price AS 'Change'
FROM
(
SELECT a.id AS aid, MAX(b.id) AS aPrevid
FROM price_practice a
INNER JOIN price_practice b
WHERE a.id > b.id
AND a.company = b.company
GROUP BY a.id
) Sub1
INNER JOIN price_practice x ON Sub1.aid = x.id
INNER JOIN price_practice y ON Sub1.aPrevid = y.id
ORDER BY x.id DESC
As intended, it returns
id company dt price Change
'35', 'Citi', '2015-07-14', '0.59', '-0.180556'
'34', 'Citi', '2015-07-13', '0.72', '-0.088608'
'33', 'Citi', '2015-07-10', '0.79', '-0.048193'
'32', 'Citi', '2015-07-09', '0.83', '-0.126316'
'31', 'Citi', '2015-07-08', '0.95', '-0.059406'
'30', 'Amex', '2015-07-14', '6.01', '0.022109'
'29', 'Amex', '2015-07-13', '5.88', '0.059459'
'28', 'Amex', '2015-07-10', '5.55', '0.037383'
'27', 'Amex', '2015-07-09', '5.35', '0.022945'
'26', 'Amex', '2015-07-08', '5.23', '0.242280'
'25', 'Citi', '2015-07-07', '1.01', '0.147727'
'24', 'Citi', '2015-07-06', '0.88', '-0.120000'
'23', 'Citi', '2015-07-03', '1.00', '-0.090909'
'22', 'Citi', '2015-07-02', '1.10', '0.100000'
'20', 'Amex', '2015-07-07', '4.21', '-0.284014'
'19', 'Amex', '2015-07-06', '5.88', '0.176000'
'18', 'Amex', '2015-07-03', '5.00', '-0.019608'
'17', 'Amex', '2015-07-02', '5.10', '0.020000'
The following snippet does something entirely different: it ranks observations by price for every company seperately.
SELECT (
CASE company
WHEN #curType
THEN #curRow := #curRow + 1
ELSE #curRow := 1 AND #curType := company END
) + 1 AS rank,
id,
company,
dt,
price
FROM price_practice,
(SELECT #curRow := 0, #curType := '') r
ORDER BY company DESC, price DESC;
As intended, it returns
rank id company dt price
'1', '22', 'Citi', '2015-07-02', '1.10'
'2', '25', 'Citi', '2015-07-07', '1.01'
'3', '23', 'Citi', '2015-07-03', '1.00'
'4', '21', 'Citi', '2015-07-01', '1.00'
'5', '31', 'Citi', '2015-07-08', '0.95'
'6', '24', 'Citi', '2015-07-06', '0.88'
'7', '32', 'Citi', '2015-07-09', '0.83'
'8', '33', 'Citi', '2015-07-10', '0.79'
'9', '34', 'Citi', '2015-07-13', '0.72'
'10', '35', 'Citi', '2015-07-14', '0.59'
'1', '30', 'Amex', '2015-07-14', '6.01'
'2', '19', 'Amex', '2015-07-06', '5.88'
'3', '29', 'Amex', '2015-07-13', '5.88'
'4', '28', 'Amex', '2015-07-10', '5.55'
'5', '27', 'Amex', '2015-07-09', '5.35'
'6', '26', 'Amex', '2015-07-08', '5.23'
'7', '17', 'Amex', '2015-07-02', '5.10'
'8', '18', 'Amex', '2015-07-03', '5.00'
'9', '16', 'Amex', '2015-07-01', '5.00'
'10', '20', 'Amex', '2015-07-07', '4.21'
The question is:
How do I rank observations by percentage change?
I imagine you can save the percentage change data in a new column and then rank it, but I suspect this is not the best method. I will do many similar calculations (eg weekly % change, variance etc), and I have around 3,000,000 observations, so the table would grow big quickly. If this is the only way to do it, I will, but I think combining the two snippets above to calculate percentage change and rank in one go would be better. Or what do you think?
As I'm sure you can tell from my question, I'm a beginner at MySQL. Any advise on how to proceed is appreciated!
I have the following Query that works correctly:
SELECT #row_num := IF(#prev_value=concat(o.CITY, o.keyword_text) ,#row_num+1, 1) AS POSITION
,o.idBUSINESS
,o.KEYWORD_TEXT
,o.CITY
, o.BID_AMOUNT
,#prev_value := concat(o.CITY, o.keyword_text)
FROM (SELECT #row_num := 1) x,
(SELECT #prev_value := '') y,
(SELECT #prev_value1 := '') z,
elevated_business_queue o
ORDER BY o.CITY , o.KEYWORD_TEXT, o.BID_AMOUNT DESC
This query returns:
# POSITION, idBUSINESS, KEYWORD_TEXT, CITY, BID_AMOUNT, #prev_value := concat(o.CITY, o.keyword_text)
'1', '7', '2', 'New Jersey', '3.50', 'New Jersey2'
'2', '5', '2', 'New Jersey', '2.50', 'New Jersey2'
'3', '1', '2', 'New Jersey', '2.50', 'New Jersey2'
'1', '5', '1', 'New York', '2.50', 'New York1'
'2', '7', '1', 'New York', '2.30', 'New York1'
'3', '1', '1', 'New York', '1.50', 'New York1'
'1', '9', '2', 'New York', '7.50', 'New York2'
'2', '1', '2', 'New York', '4.50', 'New York2'
'3', '5', '2', 'New York', '3.50', 'New York2'
'4', '7', '2', 'New York', '2.50', 'New York2'
This data is correct. Now, I want to join the elevated_business_queue with another table. I am doing it as follows:
SELECT #row_num := IF(#prev_value=concat(o.CITY, o.keyword_text) ,#row_num+1, 1) AS POSITION
,o.idBUSINESS
,o.KEYWORD_TEXT
,o.CITY
, o.BID_AMOUNT
,#prev_value := concat(o.CITY, o.keyword_text)
FROM (SELECT #row_num := 1) x,
(SELECT #prev_value := '') y,
(SELECT #prev_value1 := '') z,
elevated_business_queue o
INNER JOIN funds_balance fb ON fb.idBUSINESS = o.idBUSINESS
WHERE fb.PREMIUM_POSITIONS_CREDIT >= (o.BID_AMOUNT + ROUND((12.36/100)*o.BID_AMOUNT, 2))
ORDER BY o.CITY , o.KEYWORD_TEXT, o.BID_AMOUNT DESC
However, when I join, my POSITION gets messed up. I am now getting:
# POSITION, idBUSINESS, KEYWORD_TEXT, CITY, BID_AMOUNT, #prev_value := concat(o.CITY, o.keyword_text)
'2', '7', '2', 'New Jersey', '3.50', 'New Jersey2'
'1', '1', '2', 'New Jersey', '2.50', 'New Jersey2'
'1', '5', '2', 'New Jersey', '2.50', 'New Jersey2'
'2', '5', '1', 'New York', '2.50', 'New York1'
'3', '7', '1', 'New York', '2.30', 'New York1'
'1', '1', '1', 'New York', '1.50', 'New York1'
'1', '1', '2', 'New York', '4.50', 'New York2'
'2', '5', '2', 'New York', '3.50', 'New York2'
'1', '7', '2', 'New York', '2.50', 'New York2'
Can someone please help.
--------------UPDATE----------------------
I tried with the following query but the POSITION is still off:
SELECT T1.*,fb.* FROM
(SELECT #row_num := IF(#prev_value=concat(o.CITY, o.keyword_text) ,#row_num+1, 1) AS POSITION
,o.idBUSINESS
,o.KEYWORD_TEXT
,o.CITY
,o.BID_AMOUNT
,#prev_value := concat(o.CITY, o.keyword_text)
FROM (SELECT #row_num := 1) x,
(SELECT #prev_value := '') y,
(SELECT #prev_value1 := '') z,
elevated_business_queue o
ORDER BY o.CITY , o.KEYWORD_TEXT, o.BID_AMOUNT DESC)T1
INNER JOIN funds_balance fb ON fb.idBUSINESS = T1.idBUSINESS
WHERE fb.PREMIUM_POSITIONS_CREDIT >= (T1.BID_AMOUNT + ROUND((12.36/100)*T1.BID_AMOUNT, 2))
ORDER BY T1.CITY ,T1.KEYWORD_TEXT, T1.BID_AMOUNT DESC;
I now get the following result-set:
# POSITION, idBUSINESS, KEYWORD_TEXT, CITY, BID_AMOUNT, #prev_value := concat(o.CITY, o.keyword_text), idBUSINESS, PREMIUM_POSITIONS_CREDIT
'1', '7', '2', 'New Jersey', '3.50', 'New Jersey2', '7', '17.30'
'3', '1', '2', 'New Jersey', '2.50', 'New Jersey2', '1', '12.31'
'2', '5', '2', 'New Jersey', '2.50', 'New Jersey2', '5', '15.19'
'1', '5', '1', 'New York', '2.50', 'New York1', '5', '15.19'
'2', '7', '1', 'New York', '2.30', 'New York1', '7', '17.30'
'3', '1', '1', 'New York', '1.50', 'New York1', '1', '12.31'
'2', '1', '2', 'New York', '4.50', 'New York2', '1', '12.31'
'3', '5', '2', 'New York', '3.50', 'New York2', '5', '15.19'
'4', '7', '2', 'New York', '2.50', 'New York2', '7', '17.30'
There is no POSITION=1 for KEYWORD_TEXT=2 in New York. The following row should have a position of 1:
'2', '1', '2', 'New York', '4.50', 'New York2', '1', '12.31'
Perhaps you could replace your row_num calculation with a window function like this:
row_number() over(partition by o.CITY , o.KEYWORD_TEXT order by o.BID_AMOUNT DESC)
Here you're misplacing the order by columns. If you require ordering by KEYWORD_TEXT then by BID_AMOUNT and CITY (if yes then)
Change order by as:
ORDER BY KEYWORD_TEXT, BID_AMOUNT CITY